Description
Elasticsearch Queries in Practice Course. In this course, you will learn how to correctly and effectively use the Elasticsearch Query DSL (Domain Specific Language) based on JSON to define queries. In addition, I will introduce the most common search APIs that will help you fully understand how Elasticsearch works and how you can use it to build modern search applications such as Google, Bing, Yahoo!, DuckDuckGo and more. – If you are a beginner, don’t worry about the lectures, the course will take you from the very general concept of Loosen’s inverse index and the role of search engines (like Elasticsearch) in system architecture to more advanced features. If you don’t have data to experiment with, don’t worry, we will add sample datasets right at the beginning of this course. If you already have experience with Elasticsearch, you will enjoy the advanced part. You may be wondering if the method of using Elasticsearch is the right one and if your searches might get results faster? If so, then the course will help you find answers to these questions and optionally build and strengthen your exit experience. Regardless of your knowledge level, after completing this course, you will be ready to become a true pro in the Elasticsearch community. In this course, I will show you how to properly use the Elasticsearch product. We will start by explaining basic terminology and the role of Elasticsearch in the system architecture. Then, after entering sample data, we will explore term-based queries, range queries, special queries, geographic queries, nested queries, and more. We will learn how to use intrusive queries to create effective alerts or use aggregations to collect and analyze results. I will show you how to highlight, suggest, spell check, and format your queries. Finally, we will cover best practices for optimization and tuning, query profiling, performance testing, and customizing default routing and scoring. Overall, you will learn how to easily query correctly and effectively without having to spend hours reading Elasticsearch manuals. I hope to see you at the first lecture.
What you will learn in the Elasticsearch Queries In Practice course
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Elasticsearch Query DSL & Search according to API best practices
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Distributed search architecture and basic concepts
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How to set up and analyze queries
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How to adjust routing and scoring
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How to make highlights, suggestions and spelling corrections
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How to design effective notifications with Percolate Query
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How to analyze and aggregate data using aggregation
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How to use query templates
This course is suitable for people who
- Software engineers
- Architects
- DevOps and Managers
- Developers and quality assurance
Course specifications for Elasticsearch queries in practice
- Editor: Udemy
- Teacher: Piotr Zuk
- Training level: beginner to advanced
- Training duration: 7 hours and 45 minutes
- Number of courses: 42
Course titles on Elasticsearch queries in practice
Prerequisites for the course “Elasticsearch Queries In Practice”.
- No programming or administration experience required
- Basic HTTP and RESTful API experience is sufficient
- Access to any running Elasticsearch/Kibana deployment is optional (the course includes simple installation instructions).
Course pictures
Sample video of the course
installation Guide
After extracting, you can watch it with your favorite player.
Subtitles: English
Quality: 720p
Version 2024/1 compared to 2023/9 has been reduced by 5 minutes. Subtitles have also been added.
Download link
free download software
Size
2.22GB